This ReadMe_Mikroclimate file was created on 2026-01-06 by Tanja Mrak

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GENERAL INFORMATION
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Name of the dataset: Dataset on microclimate properties in sinkholes of Dinaric beech forests (Slovenia) a decade after the silvicultural treatment



Author/leading researcher details

Name and surname: Saša Šercer
ORCID:0009-0002-5813-1268
Institution: Slovenian Forestry Institute
Address: Večna pot 2, 1000 Ljubljana, Slovenia
Email: sasa.sercer@gozdis.si


Information about the authors

Name and surname: Urša Vilhar
ORCID:0000-0001-6765-0452
Institution: Slovenian Forestry Institute
Address: Večna pot 2, 1000 Ljubljana, Slovenia
Email: ursa.vilhar@gozdis.si

Name and surname: Janez Kermavnar
ORCID:0000-0001-8052-4653
Institution: Slovenian Forestry Institute
Address: Večna pot 2, 1000 Ljubljana, Slovenia
Email: janez.kermavnar@gozdis.si

Name and surname: Lado Kutnar
ORCID: 0000-0001-9785-1263
Institution: Slovenian Forestry Institute
Address: Večna pot 2, 1000 Ljubljana, Slovenia
Email: lado.kutnar@gozdis.si

Name and surname: Aleksander Marinšek
ORCID: 0000-0002-6190-9096
Institution: Slovenian Forestry Institute
Address: Večna pot 2, 1000 Ljubljana, Slovenia
Email: aleksander.marinsek@gozdis.i

Name and surname: Nataša Šibanc
ORCID: 0000-0001-8979-9450
Institution: Slovenian Forestry Institute
Address: Večna pot 2, 1000 Ljubljana, Slovenia
Email: natasa.sibanc@gozdis.si

Name and surname: Petr Baldrian
ORCID: 0000-0002-8983-2721
Institution: Institute of Microbiology of the Czech Academy of Sciences
Address: Vídeňská 1083, 142 00 Prague 4, Czech Republic
Email: baldrian@biomed.cas.cz

Name and surname: Vendula Brabcová
ORCID: 0000-0003-0833-2686
Institution: Institute of Microbiology of the Czech Academy of Sciences
Address: Vídeňská 1083, 142 00 Prague 4, Czech Republic
Email: brabcova@biomed.cas.cz

Name and surname: Tijana Martinović
ORCID: 0000-0001-6940-0473
Institution: Institute of Microbiology of the Czech Academy of Sciences / Slovenian Forestry Institute
Address: Vídeňská 1083, 142 00 Prague 4, Czech Republic / Večna pot 2, 1000 Ljubljana, Slovenia
Email: tijana.martinovic@biomed.cas.cz

Name and surname: Martina Štursová
ORCID: 0000-0003-1387-6426
Institution: Institute of Microbiology of the Czech Academy of Sciences
Address: Vídeňská 1083, 142 00 Prague 4, Czech Republic
Email: stursova@biomed.cas.cz

Name and surname: Tanja Mrak
ORCID:0000-0002-3228-367X
Institution: Slovenian Forestry Institute
Address: Večna pot 2, 1000 Ljubljana, Slovenia
Email: tanja.mrak@gozdis.si

Date of data collection: from 2021-05-14 to 2024-12-05

Type of data: c-data set / series

Type of research data: j-observational data

Geographical location of data collection: Kočevski Rog 45.668° N, 15.033° E; Snežnik 45.672° N, 14.460° E, Trnovo 45.989° N, 13.759° E

Information on the funders/programmes/projects that made the data collection possible: ARIS J4-4542/22-04480L  Natural regeneration processes in beech forests after disturbance, ARIS research core funding P4-0107 Forest ecology, biology and technology, ARIS post-doc project Z4-4543 Long-term changes of forest vegetation caused by global and local environmental change drivers, the project Development of research infrastructure for the international competitiveness of the Slovenian RRI space – RI-SI-LifeWatch, financed by the Republic of Slovenia, Ministry of Education, Science and Sport and the European Union from the European Regional Development Fund. The forest treatment experiment was supported by ManFor CBD 2010-2015 Life Environment Project LIFE09 ENV/IT/000078.

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SHARING/ACCESSING INFORMATION
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DOI: 10.20315/Data.0013

Data licences/restrictions: CC-BY

Links to publications that cite or use the data:/

Links to other publicly available data sites:/

Links to ancillary databases:/

Was the data obtained from another source? no
If yes, please specify the source(s):/

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VIEWING DATA AND FILES
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File list:

- Plot_metadata.csv 
- Microclimate_dataset_final.csv


File ratio, if relevant: /

Additional related data collected that were not included in this dataset: in preparation

Are there multiple versions of the dataset? No
If yes, please provide the name of the file that has been updated: /
When was the file updated? /
Why was the file updated? /

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METHODOLOGICAL INFORMATION
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Description of the methods used to collect/obtain the data: Microclimate parameters were measured in 27 plots (Plot) at three sites (Site) in Slovenia (high karst plateaus Kočevski Rog, Snežnik and Trnovski gozd) that were subjected to three cutting intensities in 2012 (Treatment): control, thinning and clearcut (details on cutting treatment available in https://doi.org/10.1016/j.foreco.2023.120949). Air temperature was measured at 0.02 m (Ta_2), 0.15 m (Ta_15), and 1.3 m (Ta_130) above the soil surface. Soil temperature was measured at -0.10 m depth in the topsoil (Ts_10). Soil water content (swc) was measured in the first -0.15 m depth in the topsoil. Data on soil water content and temperatures at -0.10 m, 0.02 m and 0.15 m were collected by TMS dataloggers (TOMST, Prague, Czech Republic) which recorded data every 30 minutes and were installed one meter north from the plot center within each sinkhole. Air temperature at 1.3 m was measured by three point-dendrometers with integrated air temperature sensor (TOMST, Prague, Czech Republic) which were installed on three trees per plot at the breast height in thinning and control plots. They were oriented northwards to prevent direct sun exposure. Dendrometers were programmed to record air temperature every 15 minutes. Trees with dendrometers were 2.8 to 25 m distant from the plot center. Resolution of temperature sensors was 0.0625 °C and accuracy ±0.5 °C. 

Data processing methods: Data series were first graphically and quantitatively inspected. Statistical outliers and data points indicating obvious errors caused by sensor failures (e.g. unrealistic data or large spikes in variables) were detected with the ˈtsoutliersˈ function in the R package forecast (Hyndman et al. 2019; R Development Core Team, 2018) and removed. Diurnal temperature ranges (DTR) were calculated as the difference between daily maximum and minimum temperature; mean values were calculated from all recored data for the whole measurement period per plot. Raw soil water content data were transformed into SWC data using an equation for sandy loam soil provided by Wild et al. (2019). Daily minimum and daily maximum SWC values were extracted for each location. These daily SWC values were then used to quantify drought intensity at each plot, using relative extractable soil water (REW), computed as follows (Bréda et al., 2006; Granier et al., 2007): REW=(〖SWC〗_day-〖SWC〗_min)/(S〖WC〗_max-〖SWC〗_min ), where SWCmin and SWCmax are the daily minimum and maximum soil water content (m3 m-3). REW values vary between 1.0 (maximum soil water content) and 0 (minimum soil water content) (Bréda et al., 2006; Granier et al., 2007). 



Software information: /

Standards and calibration data: /

Experimental conditions: natural conditions

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DATA-SPECIFIC INFORMATION: [Plot_metadata, Microclimate_dataset_final]
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List of variables:
Plot_metadata: Plot, Site, Dominant_tree_species, Treatment, Mean_DTRs_10, Mean_DTRa_2, Mean_DTRa_15, Mean_DTRa_130, Mean_REW, Latitude, Longitude, Elevation_m
Microclimate_dataset_final: time, site, sinkhole, treatment, Ta_15, Ta_2, Ts_10, swc, Ta_130